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EI-ACM-CCEAI 2021 : 5th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2021)

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Link: http://www.cceai.org/
 
When Jan 14, 2021 - Jan 16, 2021
Where Sanya, China
Submission Deadline Dec 15, 2020
Categories    ambient intelligence   control   robotics   machine learning
 

Call For Papers

Call for Paper
5th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2021)
Jan. 14-16, 2021 | Sanya, China
Web: http://www.cceai.org/


5th International Conference on Control Engineering and Artificial Intelligence (CCEAI 2021) will be held in Sanya, China during Jan. 14-16, 2021 .CCEAI 2021 is organized by Asia Pacific Institute of Science and Engineering (APISE).
We warmly welcome prospective authors to submit their new research or technological contributions to CCEAI 2021, for sharing valuable experiences with scientists and students from around the world.


●Publication and Indexing
1. All the accepted papers will be included in the ACM International Conference Proceedings Series (ISBN:978-1-4503-8887-0), which will be submitted to EI Compendex, Thomson Reuters (WoS) and other databases for review and indexing.
2. Selected papers with great extension will be recommended to publish in journal: AI EDAM, ISSN: 0890-0604 (Print), 1469-1760 (Online)---Special issue: Thematic Collection on Industrial intelligent technologies for human-robot interaction and collaboration, which will submitted to Science Citation Index Expanded, EI Compendex, SCOPUS for review and indexing.

CCEAI 2020/2019/2018/2017 Conference proceedings have been indexed by EI Compendex.

●Keynote Speaker(Continuous update)
Prof. Dan Zhang, York University, Canada
Dr. Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics, as well as the Chair of the Department of Mechanical Engineering at York University. Fellow of the Canadian Academy of Engineering (CAE), ASME Fellow, CSME Fellow. Dr. Zhang's research interests include robotics and mechatronics; high performance parallel robotic machine development; sustainable/green manufacturing systems; rehabilitation robot and rescue robot.

Prof. Pierre Larochelle, South Dakota School of Mines & Technology, USA
Pierre Larochelle (Ph.D., Mechanical Engineering, University of California at Irvine) is the Department Head and a Professor of Mechanical Engineering at the South Dakota School of Mines & Technology. He is a Fellow of the American Society of Mechanical Engineers (ASME), a Senior Member of IEEE, and a member of Tau Beta Pi, Pi Tau Sigma, ASEE, and the Order of the Engineer. His research focuses on the design of complex robotic mechanical systems and enabling creativity and innovation in design.

Prof. Zhengtao Ding, University of Manchester, UK
He is the author of the book: Nonlinear and Adaptive Control Systems (IET, 2013) and has published over 200 research articles. His research interests include nonlinear and adaptive control theory and their applications, more recently network-based control, distributed optimization and distributed learning, with applications to power systems and robotics. Prof. Ding has served as an Associate Editor for the IEEE Transactions on Automatic Control, IEEE Control Systems Letters, Transactions of the Institute of Measurement and Control, Control Theory and Technology, Mathematical Problems in Engineering, Unmanned Systems, and the International Journal of Automation and Computing, etc. He is a member of IEEE Technical Committee on Nonlinear Systems and Control, IEEE Technical Committee on Intelligent Control, and IFAC Technical Committee on Adaptive and Learning Systems.

●Topics(for more topics:http://www.cceai.org/cfp.html)
AI Algorithms;
Artificial Intelligence tools & Applications;
Bioinformatics;
Natural Language Processing;
CAD Design & Testing;
Computer Vision and Speech Understanding;
Data Mining and Machine Learning Tools;
Adaptive Control;
Automated Guided Vehicles;
Control Theory and Application;
Control theory and applications optoelectronics;
Estimation and Identification;
Factory Modeling and Automation;
Fault Detection;


●Paper Submission
Submission Email:cceai@apise.org
Electronic submission system: https://cmt3.research.microsoft.com/CCEAI2021


●Call for participants
1,Presenter:If you are interested in giving presentation on conference,without publishing your paper in the proceeding,you need to submit the abstract and title of your presentation to us:cceai@apise.org

2,Listener:You are welcome to attend this great event. You need to complete the registration as Listener before the registration dealdine.

3,Reviewer:We sincerely welcome professors, associate professors, teachers and other experts in the areas of Control Engineering and Artificial Intelligence join the conference as a reviewer.


●Contact Us
Ms. Yury Yu
Email: cceai@apise.org
Tel: +852-30506939 (HK)/+86-17723329879 (mainland of China)
Web: http://www.cceai.org/

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